Intercept and dummy variables regression significance Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Multiple regression problems (restricted regression, dummy variables)Simple linear regression - understanding givenderivation of simple linear regression parametersDummy recoding for more than two categorical variablesSignificance of dummy variables in probit regressionLinear Regression: Fitting a cubic polynomial model in R and comparison with quadratic fitIncluding Multiple Sets of Dummy Variables in a RegressionThe response $Y$ in a regression is a Bernoulli r.v., express the log likelihood function and the part. derivativesUsing regression tables to understand the data from two variables?How to approximate prediction interval in linear regression
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Intercept and dummy variables regression significance
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Multiple regression problems (restricted regression, dummy variables)Simple linear regression - understanding givenderivation of simple linear regression parametersDummy recoding for more than two categorical variablesSignificance of dummy variables in probit regressionLinear Regression: Fitting a cubic polynomial model in R and comparison with quadratic fitIncluding Multiple Sets of Dummy Variables in a RegressionThe response $Y$ in a regression is a Bernoulli r.v., express the log likelihood function and the part. derivativesUsing regression tables to understand the data from two variables?How to approximate prediction interval in linear regression
$begingroup$
I am trying to find the joint significance of the alpha (the intercept) and the dummy variables, $gamma_1$ and $gamma_2$. I know the significance of $alpha$ from the regression intercept t-stat and I can find the significance of the dummy variables using a partial F-stat.
$Y=alpha +beta_1X_1 +beta_2X_2 + gamma_1X_1^*+gamma_2X_2^*$
Is there anyway to get the joint significance of the dummy variables and alpha (this quantity represents the total "alpha" of the regression)?
regression anova
$endgroup$
add a comment |
$begingroup$
I am trying to find the joint significance of the alpha (the intercept) and the dummy variables, $gamma_1$ and $gamma_2$. I know the significance of $alpha$ from the regression intercept t-stat and I can find the significance of the dummy variables using a partial F-stat.
$Y=alpha +beta_1X_1 +beta_2X_2 + gamma_1X_1^*+gamma_2X_2^*$
Is there anyway to get the joint significance of the dummy variables and alpha (this quantity represents the total "alpha" of the regression)?
regression anova
$endgroup$
add a comment |
$begingroup$
I am trying to find the joint significance of the alpha (the intercept) and the dummy variables, $gamma_1$ and $gamma_2$. I know the significance of $alpha$ from the regression intercept t-stat and I can find the significance of the dummy variables using a partial F-stat.
$Y=alpha +beta_1X_1 +beta_2X_2 + gamma_1X_1^*+gamma_2X_2^*$
Is there anyway to get the joint significance of the dummy variables and alpha (this quantity represents the total "alpha" of the regression)?
regression anova
$endgroup$
I am trying to find the joint significance of the alpha (the intercept) and the dummy variables, $gamma_1$ and $gamma_2$. I know the significance of $alpha$ from the regression intercept t-stat and I can find the significance of the dummy variables using a partial F-stat.
$Y=alpha +beta_1X_1 +beta_2X_2 + gamma_1X_1^*+gamma_2X_2^*$
Is there anyway to get the joint significance of the dummy variables and alpha (this quantity represents the total "alpha" of the regression)?
regression anova
regression anova
asked Mar 26 at 16:31
hmandhmand
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